My research interest lies at the intersection of robotics, computer vision, and machine learning.
I'm interested in developing algorithms which can make use of rich sensory data such as
vision to not only make robot be able to complete complicated tasks but also improve
themselves continuously by interacting with the environment.

We formalize the idea of safe learning in a probabilistic sense by defining an optimization problem:
we desire to maximize the expected return while keeping the expected damage below a given safety limit.